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Collaborations and top research areas from the last five years
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Reducing Variability of Multiple Instance Learning Methods for Digital Pathology
Mammadov, A., Le Folgoc, L., Hocquet, G. & Gori, P., 1 Jan 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 506-516 11 p. (Lecture Notes in Computer Science; vol. 15966 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Self-supervision enhances instance-based multiple instance learning methods in digital pathology: a benchmark study
Mammadov, A., Le Folgoc, L., Adam, J., Buronfosse, A., Hayem, G., Hocquet, G. & Gori, P., 1 Nov 2025, In: Journal of Medical Imaging. 12, 6, 061404.Research output: Contribution to journal › Article › peer-review
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Dense Self-Supervised Learning for Medical Image Segmentation
Seince, M., Le Folgoc, L., Facury de Souza, L. A. & Angelini, E., 1 Jan 2024, In: Proceedings of Machine Learning Research. 250, p. 1371-1386 16 p.Research output: Contribution to journal › Conference article › peer-review
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Unsupervised Similarity Learning for Image Registration with Energy-Based Models
Grzech, D., Folgoc, L. L., Azampour, M. F., Vlontzos, A., Glocker, B., Navab, N., Schnabel, J. & Kainz, B., 1 Jan 2024, Biomedical Image Registration - 11th International Workshop, WBIR 2024, Held in Conjunction with MICCAI 2024, Proceedings. Modat, M., Špiclin, Ž., Hering, A., Simpson, I., Bastiaansen, W. & Mok, T. C. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 229-240 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15249 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A variational Bayesian method for similarity learning in non-rigid image registration
Grzech, D., Azampour, M. F., Glocker, B., Schnabel, J., Navab, N., Kainz, B. & Folgoc, L. L., 1 Jan 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 119-128 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Patient-specific 3d cellular automata nodule growth synthesis in lung cancer without the need of external data
Manzanera, O. E. M., Ellis, S., Baltatzis, V., Nair, A., Le Folgoc, L., Desai, S., Glocker, B. & Schnabel, J. A., 13 Apr 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging, ISBI 2021. IEEE Computer Society, p. 925-928 4 p. 9433893. (Proceedings - International Symposium on Biomedical Imaging; vol. 2021-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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The Effect of the Loss on Generalization: Empirical Study on Synthetic Lung Nodule Data
Baltatzis, V., Le Folgoc, L., Ellis, S., Manzanera, O. E. M., Bintsi, K. M., Nair, A., Desai, S., Glocker, B. & Schnabel, J. A., 1 Jan 2021, Interpretability of Machine Intelligence in Medical Image Computing, and Topological Data Analysis and Its Applications for Medical Data - 4th International Workshop, iMIMIC 2021, and 1st International Workshop, TDA4MedicalData 2021, Held in Conjunction with MICCAI 2021, Proceedings. Reyes, M., Henriques Abreu, P., Cardoso, J., Hajij, M., Zamzmi, G., Rahul, P. & Thakur, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 56-64 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12929 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification
Baltatzis, V., Bintsi, K. M., Folgoc, L. L., Martinez Manzanera, O. E., Ellis, S., Nair, A., Desai, S., Glocker, B. & Schnabel, J. A., 1 Jan 2021, Predictive Intelligence in Medicine - 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Schnabel, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 201-211 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12928 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training
Qiu, H., Qin, C., Le Folgoc, L., Hou, B., Schlemper, J. & Rueckert, D., 1 Jan 2020, Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges - 10th International Workshop, STACOM 2019, Held in Conjunction with MICCAI 2019, Revised Selected Papers. Pop, M., Sermesant, M., Camara, O., Zhuang, X., Li, S., Young, A., Mansi, T. & Suinesiaputra, A. (eds.). Springer, p. 186-194 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12009 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
Biffi, C., Cerrolaza, J. J., Tarroni, G., Bai, W., De Marvao, A., Oktay, O., Ledig, C., Le Folgoc, L., Kamnitsas, K., Doumou, G., Duan, J., Prasad, S. K., Cook, S. A., O'Regan, D. P. & Rueckert, D., 1 Jun 2020, In: IEEE Transactions on Medical Imaging. 39, 6, p. 2088-2099 12 p., 8950467.Research output: Contribution to journal › Article › peer-review
Open Access